Real-Time Context Engine for GenAI Agents
The fastest, simplest, and most governable way to give your AI agents fresh, relevant, real‑time context—powered by DeltaStream.
Why Real-Time Context Matters
GenAI agents are only as good as the context you give them. Relying on slow MCP calls, static caches, or batch‑oriented retrieval leads to outdated decisions, hallucinations, and agent instability.
DeltaStream’s Real‑Time Context Engine (RTContext) streams fresh operational data, state, and signals directly into your agents with millisecond latency.
Why DeltaStream RTContext Wins
Millisecond Latency
Context that arrives late is context that fails. RTContext delivers ultra‑low latency streams so your agent always acts with the freshest state.
Proven ROI
Reduce infrastructure cost by 40–70% compared to orchestrating dozens of MCP calls. Dramatically improve agent quality and reduce model tokens spent re‑requesting stale data.
First‑Class Governance
Centralized access control, full audit logs, data masking, lineage, schema governance—all built into DeltaStream’s real‑time data plane.
Built for Agent Architectures
RTContext plugs directly into agent runtimes. Instead of calling 10 MCP tools every step, your agent consumes a continuous stream of ready‑to‑use context.
Enterprise‑Grade Simplicity
No complex orchestration. One logical engine that aggregates, transforms, and delivers context from all your systems.
Low‑Friction Adoption
Works with any LLM, any agent framework, and any data system. Deploy on your cloud, VPC, or hybrid.
RTContext vs. MCP‑Only Runtime Calls
RTContext
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Continuous streaming context
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Single engine manages freshness + transformation
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Lower latency and lower cost
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Governed, secure, reproducible
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Ideal for multi‑step agents
MCP‑Only Calls
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Multiple roundtrips per agent cycle
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High latency, especially across systems
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Expensive in tokens + infrastructure
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No unified governance
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Prone to stale context
Use Cases
Turn Data into Real Time Action
Autonomous Business Agents
Operational Copilots
Developer Agents
Enterprise RAG + Streaming Memory
